Results for "uncertainty"

A measure of randomness or uncertainty in a probability distribution.

Selecting the most informative samples to label (e.g., uncertainty sampling) to reduce labeling cost.

Reduction in uncertainty achieved by observing a variable; used in decision trees and active learning.

Optimization under uncertainty.

Ability to replicate results given same code/data; harder in distributed training and nondeterministic ops.

Quantifies shared information between random variables.

Measures how much information an observable random variable carries about unknown parameters.

Updating beliefs about parameters using observed evidence and prior distributions.

Formal framework for sequential decision-making under uncertainty.

Models evaluating and improving their own outputs.

Framework for identifying, measuring, and mitigating model risks.

Autoencoder using probabilistic latent variables and KL regularization.

Decomposing goals into sub-tasks.

Updated belief after observing data.

Variable whose values depend on chance.

Belief before observing data.

Maintaining alignment under new conditions.

Train/test environment mismatch.

Control that remains stable under model uncertainty.

Differences between simulated and real physics.

Estimating robot position within a map.

Inferring and aligning with human preferences.

Acting to minimize surprise or free energy.